Large Language Models (LLMs) are advanced artificial intelligence systems designed to process, understand, and generate human-like text. They are trained on extensive datasets from various sources, enabling them to perform a wide range of language-related tasks with high proficiency.

Key characteristics of LLMs include their massive scale, often containing billions of parameters that help capture complex language patterns. Many LLMs utilize transformer architectures, which employ self-attention mechanisms to consider context over long sequences of text. Additionally, LLMs can be fine-tuned for specific tasks after initial pre-training on general language data, and they are capable of zero-shot and few-shot learning, allowing them to perform tasks with minimal or no specific training examples ¹.

LLMs have numerous applications, including text generation for various purposes, making them valuable tools in fields such as content creation, customer service, and more ³.